Shallow learning curve but deep capabilities and support
January 16, 2018
Shallow learning curve but deep capabilities and support
Score 9 out of 10
Vetted Review
Verified User
Overall Satisfaction with RapidMiner Studio
Individual analysts are using it to do analysis and predictive modeling of student-related data. The organization has other tools available, but RapidMiner allows for a nice shallow learning curve. Additionally, RapidMiner is being taught in at least one online program with the intention of spreading it to other institutions and departments.
- Work-flow visualization - the interface allows you to clearly see what the steps are and where any failures occur
- Keeping up to date with the latest algorithms and improving the performance of those algorithms
- Extensions that allow linking up to many of the other top tools
- Some of the error messages are vague enough to confuse end users
- Certain terminology used by the tool can confuse a new user
- There are a lot of available options, many of which have only minimal documentation available. Better documentation of not just what the option is but how it might impact an analysis would help.
- Fast development cycles means that the ability to explore and gain insight from data is far faster
- Analysts who are not programmers can look at data independently and begin to understand the data itself
- Shallow learning curve means that new analysts can get up to speed faster and be more productive immediately
SPSS and SAS are too expensive. Their interfaces are excellent, but the price point is quite high making them inappropriate for higher education. KNIME is my second choice tool in this space, but it doesn't have the same long established english-speaking user community as Rapidminer. That means that when I am having a technical problem I am far more likely to find a solution.